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Bücher Englische Bücher Wissen & Bildung Naturwissenschaft, Medizin, Informatik, Technik Informatik & EDV Informatik Analog IC Placement Generation via Neural Networks from Unlabeled Data
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Analog IC Placement Generation via Neural Networks from Unlabeled Data
Ricardo Martins (Taschenbuch, Englisch)
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Beschreibung
In this book, innovative research using artificial neural networks (ANNs) is conducted to automate the placement task in analog integrated circuit layout design, by creating a generalized model that can generate valid layouts at push-button speed. Further, it exploits ANNs’ generalization and push-button speed prediction (once fully trained) capabilities, and details the optimal description of the… input/output data relation. The description developed here is chiefly reflected in two of the system’s characteristics: the shape of the input data and the minimized loss function. In order to address the latter, abstract and segmented descriptions of both the input data and the objective behavior are developed, which allow the model to identify, in newer scenarios, sub-blocks which can be found in the input data. This approach yields device-level descriptions of the input topology that, for each device, focus on describing its relation to every other device in the topology. By means of thesedescriptions, an unfamiliar overall topology can be broken down into devices that are subject to the same constraints as a device in one of the training topologies. In the experimental results chapter, the trained ANNs are used to produce a variety of valid placement solutions even beyond the scope of the training/validation sets, demonstrating the model’s effectiveness in terms of identifying common components between newer topologies and reutilizing the acquired knowledge. Lastly, the methodology used can readily adapt to the given problem’s context (high label production cost), resulting in an efficient, inexpensive and fast model. 53,49 €
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Technische Daten
Erscheinungsdatum
01.07.2020
Sprache
Englisch
EAN
9783030500603
Herausgeber
Springer International Publishing
Serien- oder Bandtitel
SpringerBriefs in Applied Sciences and Technology
Sonderedition
Nein
Autor
Ricardo Martins
Seitenanzahl
87
Auflage
1
Einbandart
Taschenbuch
Schlagwörter
Analog IC Placement, Artificial Neural Networks, Machine Learning, Electronic Design Automation, ANNs, Analog IC Design automation, computer-aided-design tools
Thema-Inhalt
UYQM - Maschinelles Lernen
Höhe
235 mm
Breite
15.5 cm
Transparenz & Sicherheit
Hersteller: Birkhäuser, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
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